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首页> 外文期刊>Journal of the International Neuropsychological Society: JINS >An Informant Questionnaire for Detecting Alzheimer's Disease: Are Some Items Better Than Others?
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An Informant Questionnaire for Detecting Alzheimer's Disease: Are Some Items Better Than Others?

机译：检测阿尔茨海默氏病的信息量表：有些项目比其他项目好吗？

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摘要

A decline in everyday cognitive functioning is important for diagnosing dementia. Informant questionnaires, such as the informant questionnaire on cognitive decline in the elderly (IQCODE), are used to measure this. Previously, conflicting results on the IQCODEs ability to discriminate between Alzheimer's disease (AD), mild cognitive impairment (MCI), and cognitively healthy elderly were found. We aim to investigate whether specific groups of items are more useful than others in discriminating between these patient groups. Informants of 180 AD, 59 MCI, and 89 patients with subjective memory complaints (SMC) completed the IQCODE. To investigate the grouping of questionnaire items, we used a two-dimensional graded response model (GRM).The association between IQCODE, age, gender, education, and diagnosis was modeled using structural equation modeling. The GRM with two groups of items fitted better than the unidimensional model. However, the high correlation between the dimensions (r= .90) suggested unidimensionality. The structural model showed that the IQCODE was able to differentiate between all patient groups. The IQCODE can be considered as unidimensional and as a useful addition to diagnostic screening in a memory clinic setting, as it was able to distinguish between AD, MCI, and SMC and was not influenced by gender or education.
机译：日常认知功能的下降对于诊断痴呆症很重要。信息量表，例如有关老年人认知能力下降的信息量表（IQCODE），用于衡量这一点。以前，IQCODEs区分阿尔茨海默氏病（AD），轻度认知障碍（MCI）和认知健康的老年人的能力存在矛盾。我们旨在调查特定项目组在区分这些患者组方面是否比其他项目有用。 180位AD，59位MCI和89位主观记忆障碍（SMC）患者的知情人填写了IQCODE。为了调查问卷项目的分组，我们使用了二维分级响应模型（GRM）.IQCODE，年龄，性别，教育程度和诊断之间的关联使用结构方程模型进行建模。具有两组项目的GRM比一维模型拟合得更好。但是，尺寸之间的高度相关性（r = .90）表明是一维的。结构模型表明，IQCODE能够区分所有患者组。 IQCODE可以被认为是一维的，并且可以在记忆诊所中作为诊断筛查的有用补充，因为它能够区分AD，MCI和SMC，并且不受性别或教育的影响。

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